COVID-19 Analysis 
If you see mistakes or want to suggest changes, please create an issue on the source repository.
Cross-country Analysis
Data taken from the COVID-19 (2019-nCoV) Data Repository by Johns Hopkins CSSE.
Country table
Most affected countries
Cases by percentage of most affected countries
Cases over time time for ten most affected countries
Composition of cases by country
Progression by country
Progression plots of counted cases or cases by percentage of population by number of day(s) since first reported incident using linear or log scale y-axes.
Percentages (linear scale)
Percentages (log scale)
Cases (linear scale)
Cases (log scale)
Analysis for Austria
Data taken from BMSGPK and derStandard.
Cases over time by Austrian state
Composition of cases by Austrian state
Progression by state
Progression plots of counted cases by number of day(s) since first reported incident using linear or log scale y-axes.
Cases (linear scale)
Cases (log scale)
Resources
Favicon: https://icons8.com/.
Inspiration: Yanchang Zhao, COVID-19 Data Analysis with Tidyverse and Ggplot2 – Worldwide. RDataMining.com, 2020. URL: http://www.rdatamining.com/docs/Coronavirus-data-analysis-world.pdf.
Reuse: Source code is available at https://github.com/amannj/COVID-19/, unless otherwise noted.
Visualization and data preparation: Using the tidyverse.